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Imagine QA of manufacturing production items. You can place cameras next to produced items and observe if they satisfy some quality requirements or sort them in
by bitL 7y ago
Imagine QA of manufacturing production items. You can place cameras next to produced items and observe if they satisfy some quality requirements or sort them into buckets of certain quality levels. Now extend this to many other areas. It's cognitive automation basically, i.e. replacing humans with machines for tasks where humans need to think but which are repetitive.
- VBprogrammer 7y agoComputer vision is commonly used already in industry for quality control. Most of the parameters can easily be controlled with deterministic algorithms e.g. my crisps (chips) aren't too burnt or too raw based on simple colour ranging, my biscuits are the correct shape etc.
- TheCoelacanth 7y agoML potentially lets you do that without explicitly listing which failure states you are trying to detect. I'm not convinced that is a good thing, because it just gives you an excuse to not understand your own manufacturing process and how it can go wrong.